Potential sleep issues that may require BIOS updates.

s2idle sucks, but you can make it suck less if you do the kernel param acpi.ec_no_wakeup=1 (on the P14s Gen 5 AMD, at least). This results in a normal-ish power drain in sleep mode and the laptop no longer gets hot. I haven't got a hard number to give you, but it doesn't self-drain in several hours. Comment link: https://www.reddit.com/r/thinkpad/comments/1ex38yg/which_thinkpad_is_best_for_linux_t14s_gen_4_vs/

https://bbs.archlinux.org/viewtopic.php?pid=2195411#p2195411

Cowrywise is a wealth management platform, enabling millions of Nigerians to take charge of their personal finances. This is done by providing tools to plan, save and invest online with ease. A system of this nature requires a robust and scalable notification system (SMS, Email, Push) delivering high-priority notifications like OTPs, withdrawal, deposit alerts and lower-priority ones like promotional campaigns,. All this while sorting out through the right channel, respecting user preferences and very importantly ensuring "at-least-once" delivery with idempotency to guarantee no duplicate sends to users.

• Multi-Channel Support
  • Emails(SendGrid), SMS(Twilio) and Push(FCM) Notifications
  • Pluggable architecture, Can switch to another provider without changing core business logic
• Notification Prioritization
• Handle and Deliver High priority notifications (OTP, 2FA, security alerts) over lower priority notifications (marketing campaings)

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Autor: Dante Testa
Data: 29/11/2024
Versão: 1.0.0

This gist provides a custom Iosevka build plan along with a GitHub Actions workflow for building and patching the font with Nerd Font icons and all the required dependencies.

The build plan below was originally taken from this Reddit post with a few modifications to the original configuration.

(I call it Miosevka, though you can rename it however you want by modifying the provided build plan.)

[buildPlans.miosevka]
family = "Miosevka"
spacing = "normal"